基于噪声主动控制方法的非稳态车内声品质优化研究

首先对16辆各种型号的轿车进行了加速条件下车内噪声样本的采集，通过噪声信号的主客观分析研究，得出主观评价结果与客观物理参量之间的相关性，明确了加速状态下响度、尖锐度及粗糙度是影响车内声品质的主要因素。而后，对声品质最差的7号车运用噪声主动控制方法进行车内噪声优化实验，通过对比发现，车内噪声的响度、尖锐度及粗糙度都有明显的减少。将数据代入声品质客观计算模型，同时进行主观评价实验，结果表明其评分等级从16级降至12级，从而证明了噪声主动控制方法能有效提高加速条件下车内噪声的声品质。

Improving In-vehicle Sound Quality under the Accelerating Conditions Based on Active Noise Control Method

This paper firstly acquire 16 in-vehicle noise samples from 16 vehicles of various types of cars under the accelerating conditions. Based on the subjective and objective analysis of noise samples, the correlation between subjective evaluation and objective parameters is obvious -- the loudness, the sharpen and the roughness are the most important factors influencing the in-vehicle sound quality during acceleration. The active noise control experiment specific to the worst noise sample was conducted, and through the comparison, the 3 objective parameters were reduced significantly. By using objective calculation model and subjective evaluation test, the annoyance level fell from 16 to 12, and prove to everyone that the noise control method can enhance sound quality effectively in the vehicle under the accelerating conditions.